Jst Sham

What are the factors associating with caregiver identity in cancer care? A cross-sectional study of Chinese family cancer caregivers

BACKGROUND: Breast cancer is a disruptive s bodies in body experiences in a life context are not sufficiently acknowledged in breast cancer research. Due to the increasing number of breast cancer s ...Abstract presented at the IPOS 15th World Congress of Psycho-Oncology, 4-8 November 2013, Rotterdam, Netherlands

Does caregiver stress mean differently for male and female cancer caregivers? A cross-sectional study of Chinese family primary cancer caregivers

BACKGROUND: Breast cancer is a disruptive s bodies in body experiences in a life context are not sufficiently acknowledged in breast cancer research. Due to the increasing number of breast cancer s ...Abstract presented at the IPOS 15th World Congress of Psycho-Oncology, 4-8 November 2013, Rotterdam, Netherlands

Carry that weight: a comparison of the impacts of cancer caregiving on male and female Chinese family caregivers

BACKGROUND: Breast cancer is a disruptive s bodies in body experiences in a life context are not sufficiently acknowledged in breast cancer research. Due to the increasing number of breast cancer s ...Abstract presented at the IPOS 15th World Congress of Psycho-Oncology, 4-8 November 2013, Rotterdam, Netherlands

Is primary caregiving stress related to secondary caregiving stress? A cross-sectional study of Chinese family cancer caregivers

BACKGROUND: Breast cancer is a disruptive s bodies in body experiences in a life context are not sufficiently acknowledged in breast cancer research. Due to the increasing number of breast cancer s ...Abstract presented at the IPOS 15th World Congress of Psycho-Oncology, 4-8 November 2013, Rotterdam, Netherlands

Chinese cancer quality of life measure: a translation and initial validation of the fact-G (CH) scale

In a state-funded or state-subsidised system all three of these should be regarded as “social” decisions, although conventionally (a) and (b) are often regarded as “clinical” decisions, i.e. purely technical matters for doctors to decide. But they are all priority-setting decisions, in which some citizens are winners and others are losers. And they concern the use of limited resources that taxpayers have provided. As a matter of justice, therefore, the views of citizentaxpayers should influence the outcomes.The 1999 Annual Conference of the International Society for Quality of Life Research (ISOQOL), Barcelona, Spain, 3-6 November 1999. In Quality of Life Research, 1999, v. 8 n. 7, p. 562, abstract no. 23Background: The 22-item Well-being Questionnaire (W-BQ22) (Bradley, 1994) includes Anxiety, Depression, Energy and Positive Well-being subscales. However, the constructs of anxiety and depression could not be easily distinguished from each other. Consequently, the W-BQ12 was designed to include just three subscales, Negative Well-being (including only negatively-worded anxiety and depression items), Energy (2 positively- and 2 negativelyworded items) and Positive Well-being (all positively-worded items). The SF-36 (Ware & Sherbourne, 1983), a widely used health status measure, includes a 4-item vitality subscale (2 positively- and 2 negatively-worded items) and a 5-item mental health scale (2 positively worded and 3 negatively-worded items). Method: Factor structures of W-BQ22, W-BQ12 and SF-36 were compared using data from 789 outpatients with diabetes. Results: W-BQ22 factor analysis showed negatively-worded anxiety and depression items loading together, while positively-worded depression items loaded with positive well-being items and separately from positively-worded anxiety items. W-BQ12 loaded as intended on 3 factors, with negatively-worded anxiety and depression items loading together on one factor: negative well-being. The four energy items (2 positively- and 2 negatively-worded) loaded together (factor 3) and the four positive well-being items loaded together (factor 1). Unforced factor analysis of the SF-36 produced 5 factors and split the mental health and vitality items into two components, which could only be defined in terms of positive and negative wording. A forced 8-factor solution produced similar results, with the mental health and vitality items being split into two components according to their positive or negative wording. A forced 2-factor solution brought mental health/vitality items together, separate from physical health items. Conclusion: The previously unrecognised influence of positive and negative wording on factor structure is clearly shown here to be of importance in conceptualising and designing measures of psychological well-being to be used with people with diabetes and may be of relevance for other populations.